InfoQ Homepage Programming Content on InfoQ
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Speedup Your Java Apps with Hardware Counters
Sergey Kuksenko discusses how Performance Monitoring Unit works, what Hardware Counters are, which tools have friendship with Java and how to use HWC for speeding up our Java applications.
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Stored Procedures as a Service
Abhishek Tiwari discusses how to use stored procedures to create a fast-track API transformation program on top of legacy systems,migrating business logic into a service tier,one store proc at a time
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API Specification Shootout
Justin Wood and Giovanni Vigorrelli compare and contrast RAML and Swagger, do a round up of the other specifications languages, and present some conclusions.
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Automatic Discovery of Service Metadata for Systems at Scale
Martina Iglesias Fernández discusses Spotify’s approach to documentation through automatic discovery of existing endpoints, service configuration, and deployment information at runtime.
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Java SE 9: Continuing to Thrive in the Cloud!
Bernard Traversat discusses JVM enhancements addressing cloud deployment requirements such as G1 GC, segmented code cache, contended locking, and density String.
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The Improviser's Code: Engineering Your Best Self
Ted DesMaisons and Lisa Rowland talk about the tools and mindset of improvisation so one can rewire his own circuitry and open up new capabilities in the way he interacts with work, the world etc.
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Java Puzzlers NG S02: down the Rabbit Hole
Baruch Sadogursky and Viktor Gamov talk about Java puzzlers - streams, lambdas, monads, Optionals and CompletableFutures.
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The Cuddly Throwable Application Server
Holly Cummins presents a getting-started-guide to the Internet of Things. What’s needed? How much does it cost? What’s the best way of making an embeddable device talk to the internet?
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Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R
Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.
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Machine Learning Your Way to Smarter API Error Responses
Steven Cooper discusses using machine learning to understand malformed API requests to not only respond with a best fit response, but capture the user errors for future responses.
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Autonomous Operations: Microservices, ML and AI
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
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Hypermedia Myths and Misconceptions
Glenn Block discusses the truth and myth beyond some beliefs: the web was built for hypermedia, there is no REST without hypermedia, hypermedia is the magic cure for all API ills, etc.
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